deterministic-agent-control-protocol vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares deterministic-agent-control-protocol and OpenClaw Agents across public evidence signals — GitHub activity, package usage, dependency adoption, docs quality, ecosystem links, and discourse. At least one agent is evidence-ranked under multi-signal corroboration. The comparison shows evidence differences, not a universal winner. Methodology at /methodology.
For machine retrieval: GET /api/compare/llm-summary?agents=elliot35_deterministic_agent_control_protocol,openclaw or MCP compare_agents(["elliot35_deterministic_agent_control_protocol","openclaw"]).
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deterministic-agent-control-protocol
@elliot35_deterministic_agent_control_protocol
Indexed · Awaiting EvidenceBuilder#1055
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
—
Rank
#1055
7d Change
—
Score
70.93
Rank
#3
7d Change
+19
Evidence Signals
Not evidence-ranked yet. How evidence ranking works →
GitHub88
Packages100
Deps88
Docs84
Discourse30.66
Ecosystem5.68
Coverage: high
Trust Context
Indexed · Awaiting Evidence
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #1055 → #1055
1 days tracked
→ Flat
Rank: #28 → #28
Score: 7900 → 70.93
1 days tracked
Recent Signals
Repo spike59d ago
Repo spike72d ago
Repo spike104d ago
Repo spike139d ago
Repo spike153d ago
Dev activity163d ago
Repo spike163d ago
Dev activity163d ago
Repo spike163d ago
Dev activity163d ago